Perfusion-ventilation CT via three-material differentiation in dual-layer CT: a feasibility study

Autor: Sauter, Andreas P., Hammel, Johannes, Ehn, Sebastian, Achterhold, Klaus, Kopp, Felix K., Kimm, Melanie A., Mei, Kai, Laugerette, Alexis, Pfeiffer, Franz, Rummeny, Ernst J., Pfeiffer, Daniela, Noël, Peter B.
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-8 (2019)
ISSN: 2045-2322
Popis: Dual-Energy Computed Tomography is of significant clinical interest due to the possibility of material differentiation and quantification. In current clinical routine, primarily two materials are differentiated, e.g., iodine and soft-tissue. A ventilation-perfusion-examination acquired within a single CT scan requires two contrast agents, e.g., xenon and gadolinium, and a three-material differentiation. In the current study, we have developed a solution for three-material differentiation for a ventilation-perfusion-examination. A landrace pig was examined using a dual-layer CT, and three scans were performed: (1) native; (2) xenon ventilation only; (3) xenon ventilation and gadolinium perfusion. An in-house developed algorithm was used to obtain xenon- and gadolinium-density maps. Firstly, lung tissue was segmented from other tissue. Consequently, a two-material decomposition was performed for lung tissue (xenon/soft-tissue) and for remaining tissue (gadolinium/soft-tissue). Results reveal that it was possible to differentiate xenon and gadolinium in a ventilation/perfusion scan of a pig, resulting in xenon and gadolinium density maps. By summation of both density maps, a three-material differentiation (xenon/gadolinium/soft tissue) can be performed and thus, xenon ventilation and gadolinium perfusion can be visualized in a single CT scan. In an additionally performed phantom study, xenon and gadolinium quantification showed very accurate results (r > 0.999 between measured and known concentrations).
Databáze: OpenAIRE
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